Role of 15-hydroxyeicosatetraenoic acid in phosphorylation of ERK1/2 and caldesmon in pulmonary arterial smooth muscle cells
Bibliographic record
Abstract
We have reported that 15-hydroxyeicosatetraenoic acid (15-HETE) induces pulmonary artery (PA) contraction in rats exposed to hypoxia by activating extracellular signal-regulated kinase 1/2 (ERK1/2). In this study, we investigated the characteristics of 15-HETE mediating phosphorylation of ERK1/2 and caldesmon in rat pulmonary arterial smooth muscle cells (PASMCs). Our data showed that 15-HETE upregulated ERK1/2 phosphorylation in a dose-dependent manner, which could be blocked by ERK pathway inhibitors U0126 and PD98059. ERK1/2 phosphorylation was attenuated by inhibiting endogenous 15-HETE formation with lipoxygenase inhibitor, cinnamyl 3,4-dihydroxy-[alpha]-cyanocinnamate (CDC), in both normoxic and hypoxic PASMCs. ERK1/2 phosphorylation in response to 15-HETE was detected in cytosol as well as in nucleus and phosphorylatd ERK1/2 partly translocated into nucleus, which could be blocked by PD98059. In addition, caldesmon was phosphorylated in 15-HETE-stimulated cells; this could be inhibited by PD98059. These data demonstrated that 15-HETE is associated with ERK1/2 activation and caldesmon phosphorylation in PASMCs and that 15-HETE is at least partly involved in mediating activation of hypoxia-initiated ERK pathway, possibly leading to hypoxic pulmonary vasoconstriction.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".